Core Viewpoint - The successful acceptance and operation of the multi-dimensional intelligent inspection system at the Xiaodongjiang Hydropower Station marks the beginning of the intelligent inspection era for the facility [1] Group 1: System Overview - The multi-dimensional intelligent inspection system is based on AI deep learning algorithms and integrates various subsystems including video monitoring, robotic inspection, infrared monitoring, and tailwater restricted area control [1] - The system achieves comprehensive perception, precise identification, real-time alarm, and trend warning for equipment status, environmental parameters, harmful gases, and specific issues like "leakage" in hydropower stations [1] Group 2: Operational Functionality - During daily operations, staff can set inspection plans, allowing inspection robots to automatically follow predefined paths and points to conduct inspections [1] - The system transmits real-time images and various monitoring data back to the central platform for image recognition, status analysis, and anomaly judgment, ultimately generating inspection reports and sending warning information [1] Group 3: Robotic Capabilities - The system features a quadruped wheeled intelligent robot capable of navigating areas such as the turbine layer and water supply chamber to perform tasks like equipment status checks, meter readings, and abnormal sound monitoring [1] - Track-mounted robots deployed in critical areas like the 10 kV room and 400 V room can conduct status checks on important equipment such as switch cabinets and excitation transformers, as well as infrared temperature measurements and partial discharge detection, creating a comprehensive monitoring network for both internal and external equipment status [1]